We employ lowercasing and lemmatization, as well as remove stop words and punctuation during pre-processingNLTK was used for lemmatization and identification of stop words.. For TextRank, KLSum, Lead-K, and Random-K, we produce summaries budgeted at the average number of words among all summaries [1]}. However, for the sentence which causes the summary to exceed the budget, we keep or discard the full sentence depending on which resulting summary is closer to the budgeted length.
